Background
The circadian clock and cell cycle are two global regulatory systems that have pervasive effects on the behavior and physiology of eukaryotic cells. The 24-hour periodicity of the circadian rhythm, consisting of light and dark phases which coincide with the phases of the solar day, is maintained by a set of core circadian genes through a complex mechanism involving transcription-translational feedback loops [
1,
2]. The cell cycle is monitored by a sequence of molecular and biochemical events including a series of checkpoint mechanisms to ensure completion of biochemical reactions unique to each phase of the cell cycle prior to initiation of subsequent phases [
3,
4].
While these two regulatory systems involve distinct mechanisms, there is evidence that they are linked and interact at the gene, protein, and biochemical levels [
5,
6]. A recent study has indicated that one circadian regulator,
TIMELESS, is also a core component of the cell cycle checkpoint system [
7]. It regulates directly or indirectly the activity of autoregulatory components of the mammalian circadian core, including Clock, Per, and Cry proteins, associates with S phase replication checkpoint proteins Claspin and Tipin, and is required for the phosphorylation and activation of Chk1 by ATR and ATM-dependent Chk2-mediated signaling of DNA double strand breaks [
8,
9].
Although the connection between cancer and the cell cycle machinery that controls cell proliferation has been evident for some time, and there is mounting evidence to suggest that disruption of the circadian rhythm may increase susceptibility to certain malignancies [
10‐
12], little is known about
TIMELESS’s role in tumorigenesis. Our previous case–control study demonstrated significant genetic and epigenetic associations of
TIMELESS and breast cancer risk [
13]. A recent study has also shown that higher levels of
TIMELESS expression in colorectal cancer tissue is associated with TNM stages III-IV and microsatellite instability [
14]. In contrast, findings from another study point to the down-regulation of
TIMELESS in hepatocellular carcinomas [
15].
In the current study, we report our findings from the expression profiling analysis of TIMELESS in different tumor types using publically available online tools and microarray datasets, and a loss-of-function analysis using TIMELESS-targeting siRNA oligos followed by a whole-genome expression microarray and network analysis. We also tested one of the potential roles of TIMELESS suggested by our network analysis using a MTS assay and observed that TIMELESS knockdown decreased the proliferation rate of MCF7 breast cancer cells.
Methods
Data mining of TIMELESS expression in different tumor types
To explore whether
TIMELESS expression is altered in different cancer types, we first performed a comprehensive search using the Oncomine 4.4 online database (
https://www.oncomine.org; accessed on September 7, 2011) [
16] for expression array comparisons involving tissues drawn from cancer patients and healthy controls. The keywords used were: Gene: “TIMELESS”; Analysis Type: “Cancer vs. Normal Analysis”. The search returned a total of 194 analyses conducted in 93 unique studies across various cancer types using different array platforms. Further details regarding tissue collection and the experimental protocol of each array are available in the Oncomine database, or from the original publications.
We then investigated whether aberrant
TIMELESS expression was associated with tumor stage or prognostic outcome. We searched and analyzed publicly available microarray data sets containing tumor stage or clinical outcome information from the Gene Expression Omnibus (GEO) [
17] and ArrayExpress databases (
http://www.ebi.ac.uk/arrayexpress; accessed on September 8, 2011). The cervical cancer data set (GEO accession # GSE7803) contains gene expression data of normal cervical tissue, high-grade squamous intraepithelial lesions and invasive squamous cell carcinomas [
18]. The ArrayExpress breast cancer data set (accession # E-TABM-276) examined gene expression in malignant breast tumor tissue, adjacent tissue exhibiting cystic changes, adjacent normal breast tissue and tissue drawn from healthy controls [
19]. The prostate cancer data set GSE8511 includes tissue from benign prostate and localized and metastatic prostate tumor tissues [
20], and GSE21034 contains samples from normal adjacent benign prostate and primary and metastatic prostate tumor tissues [
21]. GSE2034 examined the association between gene expression in tissues drawn from primary breast cancer patients and their clinical outcomes [
22]. The GOBO online tool (Gene Expression-Based Outcome for Breast Cancer Online co.bmc.lu.se/gobo), designed for prognostic validation of genes in a pooled breast cancer data set comprising 1881 cases from 11 public microarray data sets, was used to validate our analysis of the GSE2034 breast cancer data set [
23].
Cell culture and treatments
All experimental procedures were approved by the Institutional Review Board at Yale University and the National Cancer Institute. To determine TIMELESS’s role in tumorigenesis, we then performed an in vitro loss-of-function analysis using TIMELESS-targeting siRNA oligos followed by a whole-genome expression microarray. Human HeLa cells (American Type Culture Collection, Manassas, VA) were maintained in Dulbecco’s modified Eagle medium (Invitrogen, Carlsbad, CA) supplemented with 10% fetal bovine serum (Invitrogen) and 1% penicillin/streptomycin (Sigma-Aldrich, St. Louis, MO). Short interfering RNA (siRNA) oligonucleotides targeting exon 11 of TIMELESS (Ambion ID s17053; cat. no. 4392420) and a scrambled sequence negative control oligonucleotide were designed and manufactured by Ambion, Inc. (Ambion/Applied Biosystems). Each oligonucleotide was reverse-transfected in 12-well plates with ~10,000 cells/well at a final concentration of 10 nM using the Lipofectamine RNAiMAX transfection reagent (Invitrogen).
RNA isolation and quantification
RNA was isolated using the RNA Mini Kit (Qiagen), with on-column DNA digestion, according to the protocols of the manufacturer for mammalian cells. RNA was quantified using a NanoDrop spectrophotometer (Thermo Scientific), and first-strand cDNA was synthesized using the AffinityScript cDNA Kit (Stratagene) with random ninemer primers. TIMELESS mRNA expression was measured by quantitative real-time PCR performed in duplicate using the Power SYBR Green PCR master mix (Applied Biosystems) and a standard thermal cycling procedure on an ABI 7500 instrument (Applied Biosystems). RNA quantity was normalized using HPRT1, and TIMELESS silencing was quantified using the 2−ΔΔCt method.
Genome-wide expression microarray
Gene expression differences in normal HeLa cells and those with reduced TIMELESS levels were examined by whole genome microarray (Agilent, Inc., 44 K chip, performed by MoGene, LC). RNA was isolated from biological replicates of each treatment condition (TIMELESS-targeting or scrambled negative control). Gene expression fold changes in TIMELESS knockdown cells relative to the mock siRNA-treated negative control were determined for each replicate. Samples with inadequate signal intensity (i.e., intensity < 50 in both the Cy3 and Cy5 channels), and transcripts with adjusted P-values greater than 0.05 in either biological replicate were discarded. To further reduce the number of false positive observations, and to enrich for biologically relevant expression changes, the remaining transcripts were defined as significantly differentially expressed only if they displayed a mean fold change in expression of at least |2|.
Pathway-based network analysis
We then interrogated the differentially expressed transcripts for network and functional interrelatedness using the Ingenuity Pathway Analysis software tool (Ingenuity Systems;
http://www.ingenuity.com). The software uses an extensive database of functional interactions which are drawn from peer-reviewed publications and are manually maintained [
24].
P-values for individual networks were obtained by comparing the likelihood of obtaining the same number of transcripts or greater in a random gene set as are actually present in the input set (i.e., the set of genes differentially expressed following
TIMELESS knockdown) using a Fisher's exact test, based on the hypergeometric distribution. Our microarray data were uploaded to the Gene Expression Omnibus [
17] database (
http://www.ncbi.nlm.nih.gov/projects/geo/; accession # pending). The differential expression of several genes detected by the microarray was assessed and confirmed by quantitative real-time PCR. The primers used were designed in house and the sequences are provided in Additional file
1: Table S1.
Cell proliferation assay
The results from our network analysis suggested us to further investigate TIMELESS’s potential role in cellular growth and proliferation. HeLa and MCF7 cells (American Type Culture Collection) were reverse transfected with siRNA oligos targeting TIMELESS and a scrambled sequence negative control in 96-well plates using the Lipofectamine RNAiMAX transfection reagent (Invitrogen). Cell proliferation was analyzed in triplicate at baseline, 24 hours, 48 hours, 72 hours, and 96 hours using the CellTiter 96® AQueous One Solution Cell Proliferation Assay (MTS) kit (Promega Corporation, Madison, WI) and the absorbance was measured using an Epoch microplate spectrophotometer (BioTek, Winooski, VT).
Statistical analyses
Statistical analyses were performed using the SAS statistical software, version 9.2 (SAS Institute). Student t-tests and one-way ANOVA were applied to calculate differences in
TIMELESS expression across different tumor stages, as well as differences in cell proliferation rate. The log-rank test was used to estimate the differences in survival between cancer patients with differing levels of
TIMELESS expression. Due to the multiple comparisons inherent in our microarray analysis, adjustments were made to control for false discoveries using the Benjamini-Hochberg method, as previously described, to obtain a false discovery rate-adjusted
P-value for each observation (referred to as the
Q-value) [
25].
Discussion
Since the hypothesis linking circadian disruption to increased breast cancer risk was first proposed twenty years ago, there have been many molecular epidemiologic studies implicating the tumorigenic importance of circadian variations, including genetic and epigenetic variations, and aberrant gene expression [
10,
57,
58].
TIMELESS, which regulates directly or indirectly the activity of autoregulatory components of the mammalian circadian core, has been shown to play an essential role in the cell cycle checkpoint response [
8,
9]. As a potential molecular bridge between the cell cycle and the circadian regulatory systems,
TIMELESS is also likely to play a significant role in tumorigenesis.
In our previous breast cancer case–control study, we found significant associations between two tagging SNPs in the TIMELESS gene and decreased breast cancer susceptibility. TIMELESS promoter hypomethylation in peripheral blood lymphocytes was also found to be significantly associated with later-stage breast cancer. In the current study, we observed that TIMELESS is frequently overexpressed in tumor relative to normal tissues in several cancer types, and that elevated expression of TIMELESS is significantly associated with later tumor stages and poorer breast cancer prognosis. Our findings also provide the first evidence suggesting the diagnostic and prognostic potential of TIMELESS in cancer.
Intriguingly, all 26 genes in the top IPA-generated network have been reported to be involved in cancer.
G0S2 (3.37-fold increase), which encodes a mitochondrial protein that specifically interacts with Bcl-2, is a proapoptotic factor, and its ectopic expression induces apoptosis in diverse human cancer cell lines in which endogenous
G0S2 is normally epigenetically silenced [
48]. Similarly, RhoB (2.16-fold increase) is a well-characterized small GTPase that can inhibit cell proliferation, survival and invasion, and it is often down-regulated in cancer cells [
47].
EMP1 (5.33-fold increase) encodes a potential tumor suppressor that is associated with cellular proliferation and metastasis [
49].
DMBT1 (Deleted in malignant brain tumors 1 protein) (5.26-fold decrease) is a putative tumor suppressor gene frequently deleted in brain, gastrointestinal and lung cancers and down-regulated in breast cancer and prostate cancer [
59]. Interestingly, Superoxide dismutase (
SOD2), a probable tumor suppressor responsible for the destruction of superoxide free radicals [
44], displayed a 15.9-fold increase in expression following
TIMELESS knockdown. Additionally, Endothelin-1 (
EDN1) (4.26-fold increase) encodes a growth factor that is frequently produced by cancer cells and plays a key role in cell growth, differentiation, apoptosis, and tumorigenesis [
27]. Bone Morphogenetic protein 7 (
BMP7) (2.41-fold increase), also known as osteogenic protein 1 (OP-1), encodes a multifunctional growth factor belonging to the TGF-β superfamily. Elevated BMP7 levels are reported to be correlated with the depth of colorectal tumor invasion, liver metastasis and cancer-related death [
60], as well as the levels of estrogen and progesterone receptor, both of which are important markers for breast cancer prognosis and therapy [
61]. Similarly,
GDF15 (4.49-fold increase), which encodes another member of the TGF-β superfamily, was reported to exert proapoptotic and anti-tumorigenic functions on colorectal, prostate, and breast cancer cells
in vitro and on colon and blioblastoma tumors
in vivo[
62].
IL8 (5.1-fold increase) has also been reported to have functions in the regulation of angiogenesis, cell growth and survival, leukocyte infiltration, and modification of immune responses [
63]. These data suggest that loss of
TIMELESS expression has the potential to influence a set of cancer-relevant genes, although most of these genes showing altered expression may not interact directly with
TIMELESS. However, without further mechanistic investigations, it is not possible to identify whether these transcripts are direct or indirect targets of
TIMELESS.
Timeless, together with its constitutive binding partner, Tipin, functions as a replisome-associated protein which interacts with components of the endogenous replication fork complex [
64]. Moreover, siRNA-mediated
TIMELESS down-regulation attenuates DNA replication efficiency [
64]. Consistent with this observation, we observed a significant decrease in MCF7 cell proliferation after
TIMELESS knockdown. However, we found only a slight but non-significant decrease in cell proliferation in HeLa cells following
TIMELESS knockdown. This latter observation is consistent with the finding that
TIMELESS down-regulation did not have a significant effect on cell proliferation in HeLa cells previously reported by Masai et al. [
65]. As a recent study conducted by Engelen et al. revealed elevated
TIMELESS expression in tissues undergoing active proliferation, the implication is that increased
TIMELESS expression may be a characteristic of all highly proliferative cells, rather than one exclusive to cancer tissues. However, this relationship does not necessarily diminish the significance of
TIMELESS in cancer simply because heightened cellular proliferation can be an important driver of the cancerous state. Even if
TIMELESS expression is elevated as a result of, rather than a precursor to, heightened proliferation,
TIMELESS expression may represent a natural response to abnormal proliferative rates and its potential physiological significance in cancer cannot be discounted. Further mechanistic studies are needed to investigate the precise role of
TIMELESS on cellular growth and proliferation in different cancer types, as well as the capacity of
TIMELESS to influence other potentially cancer-relevant pathways, including cell motility, invasiveness, and DNA damage response.
Although initial screening found a similar anti-proliferative response to a second siRNA, only the siRNA that conferred the greater phenotypic effect was chosen for subsequent assays. Given the inherent difficulty in controlling for off-target effects in any knockdown experiment performed using a single siRNA, the results presented here should be subjected to independent validation with use of a second siRNA. Furthermore, there is evidence to suggest that the anti-proliferative response observed from TIMELESS silencing could be partly attributable to apoptosis. It is evident that proliferation of transfected cells plateaus between the 48 hour and 72 hour time points and decreases thereafter, marking a period of gradual cell death. The degree to which silencing of TIMELESS elicits an apoptotic response should be the subject of a future investigation.
Competing interest
The authors declare that they have no competing interest.
Authors’ contributions
YYM was responsible for performing database searches, analyzing microarray data, carrying out cell proliferation assays, and preparing the first manuscript draft. AF carried out the initial cell culture experiments and aided in manuscript preparation. DL helped to optimize conditions required for TIMELESS knockdown. YZ aided in experimental design and manuscript preparation. TZ and KC helped with manuscript preparation. All authors have read and approved the final manuscript.